Abstract: The present invention belongs to the field of power system operations and provides a method for quantifying the flexibility demand and coordinating optimization of a hydro-wind-solar multi-energy complementary system. Firstly, the flexibility demand quantification method considering the uncertainty of wind and solar power output is constructed, and the wind and solar power output interval is divided by using quantile points to generate a set of output scenarios, and then the flexibility demand under each scenario is calculated. Based on the quantitative index of flexibility demand, an optimal operation model of hydro-wind-solar complementary system considering the minimum expectation of system flexibility deficiency is constructed to realize the optimal calculation of hydro-wind-solar complementary. By utilizing an actual wind-hydro complementary system of the Yunnan Power Grid, the model is validated for different new energy access ratios.

Abstract: A method for describing power output of a cluster of wind and solar power stations considering time-varying characteristics. The error function is employed to characterize the degree of difference in power output within periods, and split-level clustering is used to determine the optimal period division under different period division quantities. The economic efficiency theory is introduced to determine the ideal number of periods, avoiding the randomness and unreasonableness that may result from relying on the subjective determination of the number of clusters. This method can reasonably divide the wind and solar power output period, fully reflecting the time-varying law of wind and solar power generation. The results also can accurately reflect the distribution characteristics of the power output of the power station group at each time period, and the power output each time period shows better reliability, concentration, and practicality.

Abstract: The present invention relates to an aggregation method for dispatching the wind and solar power plants. The primary technical solutions include: introducing the power output complementarity indexes to characterize the average effect of the degree of power output complementarity between different power stations, using cohesive hierarchical clustering to identify the optimal cluster division under different division quantities, and introducing the economic efficiency theory to determine the optimal cluster quantity, which avoids the randomness and irrationality that may result from relying on the subjective determination of the number of clusters.

Abstract: A practical method for short-term operations of large-scale hydropower plants divides all hydropower plants into three categories using operation characteristics such as system hierarchy, space attributes, task requirements, and schedule particularity. A strategy for adjusting spillage based on peak-shaving response and a strategy for equal load reduction in off-peak hours check and adjust power generation of hydropower plants with specified dispatching modes. For medium- and small-sized cascaded hydropower plants, the load distribution among plants is optimized with an objective of minimizing total power release subject to control condition of total generation profile. For large-size cascaded hydropower plants, an optimization model for peak-shaving operations and a method for balancing power plants with equal load rate are combined to respond to system peak demands and guarantee power balance in all periods.

Abstract: The invention relates to a multi-objective optimization method for power system peak-shaving based on index linkage analysis. The invention comprehensively considers five peak shaving indexes, and introduces a linkage analysis theory in economics to test stationarity and causality of data series of peak-shaving indexes. The purpose is to effectively clarify linkage relationship between indexes. A regression analysis method is used to quantify the mutual influence relationship. A multi-index coupling peak shaving optimization model for generation scheduling is developed and finally solved by using genetic algorithm. The invention can objectively describe comprehensive peak shaving requirements of a provincial power grid, and is helpful for generation dispatcher to reduce subjective assumptions in the decision-making.

Abstract: The invention relates to a multi-objective optimization method for power system peak-shaving based on index linkage analysis. The invention comprehensively considers five peak shaving indexes, and introduces a linkage analysis theory in economics to test stationarity and causality of data series of peak-shaving indexes. The purpose is to effectively clarify linkage relationship between indexes. A regression analysis method is used to quantify the mutual influence relationship. A multi-index coupling peak shaving optimization model for generation scheduling is developed and finally solved by using genetic algorithm. The invention can objectively describe comprehensive peak shaving requirements of a provincial power grid, and is helpful for generation dispatcher to reduce subjective assumptions in the decision-making.

Abstract: The invention relates to the field of hydropower scheduling, and relates to a method for multi-objective optimal operations of cascade hydropower plants based on relative target proximity and marginal analysis principle. The invention constructs an optimization model with relative target proximity by introducing positive and negative ideal points of objectives so that a multi-objective optimization is efficiently handled. A strategy for processing complex operation constraints is proposed and coupled with genetic algorithm to solve the model. Thus, optimal solution sets under different weight coefficients of objectives can be determined. Following this, marginal benefit and marginal cost are introduced to represent a relationship between multiple objective values and corresponding weight coefficients.

Abstract: Electricity retail trading systems and methods for coupling a wholesale market are disclosed. In some embodiments, an electricity retail trading system includes a user login module, a trade unit management module, a first display module, a wholesale market trade module, a retail preliminary distribution module, a data acquisition and deviation calculation module, a second display module, a deviation transfer trade module, a third display module, a retail final distribution module, and a fourth display module. In other embodiments, an electricity retail trading method includes the following steps: (a) user login, (b) trade unit management, (c) declaration and clearing of wholesale market trade, (d) retail preliminary distribution of electricity retailer, (e) data acquisition and deviation quantity calculation, (f) declaration and clearing of deviation transfer market trade, and (g) retail final distribution of electricity retailer.

Abstract: The invention relates to the field of hydropower scheduling, and relates to a method for short-term generation scheduling of cascade hydropower plants coupling cluster analysis and decision tree. Linear regression technique is adopted to determine a matching relationship of energy production between upstream and downstream hydropower plants. With the relationship, typical generation curves of each hydropower plant can be clustered from lots of historical data. These typical generation curves and impact factors of generation scheduling such as planned daily electricity, reservoir level, and power grid characteristics, are together trained to obtain decision-making library for generation scheduling of cascaded hydropower plants. Thus, the decision tree method can be used to rapidly determine an operational scheme for generation scheduling of cascaded hydropower plants. Finally, a correction strategy for operation constraints is introduced to ensure feasibility of the operation scheme.

Abstract: The invention relates to the field of hydropower scheduling, and relates to a method for multi-objective optimal operations of cascade hydropower plants based on relative target proximity and marginal analysis principle. The invention constructs an optimization model with relative target proximity by introducing positive and negative ideal points of objectives so that a multi-objective optimization is efficiently handled. A strategy for processing complex operation constraints is proposed and coupled with genetic algorithm to solve the model. Thus, optimal solution sets under different weight coefficients of objectives can be determined. Following this, marginal benefit and marginal cost are introduced to represent a relationship between multiple objective values and corresponding weight coefficients.

Abstract: A practical method for short-term operations of large-scale hydropower plants divides all hydropower plants into three categories using operation characteristics such as system hierarchy, space attributes, task requirements, and schedule particularity. A strategy for adjusting spillage based on peak-shaving response and a strategy for equal load reduction in off-peak hours check and adjust power generation of hydropower plants with specified dispatching modes. For medium- and small-sized cascaded hydropower plants, the load distribution among plants is optimized with an objective of minimizing total power release subject to control condition of total generation profile. For large-size cascaded hydropower plants, an optimization model for peak-shaving operations and a method for balancing power plants with equal load rate are combined to respond to system peak demands and guarantee power balance in all periods.

Abstract: The invention relates to the field of hydropower scheduling, and relates to a method for short-term generation scheduling of cascade hydropower plants coupling cluster analysis and decision tree. Linear regression technique is adopted to determine a matching relationship of energy production between upstream and downstream hydropower plants. With the relationship, typical generation curves of each hydropower plant can be clustered from lots of historical data. These typical generation curves and impact factors of generation scheduling such as planned daily electricity, reservoir level, and power grid characteristics, are together trained to obtain decision-making library for generation scheduling of cascaded hydropower plants. Thus, the decision tree method can be used to rapidly determine an operational scheme for generation scheduling of cascaded hydropower plants. Finally, a correction strategy for operation constraints is introduced to ensure feasibility of the operation scheme.

Abstract: The invention that relates to the field of hydropower scheduling presents a method for long-tens optimal operations of interprovincial hydropower system considering peak-shaving demands. It can take full advantage of the differences of hydrological characteristics among hydropower plants on different rivers to implement compensation operations of interprovincial hydropower system. In this operation, typical daily load demands during dry season are considered to optimize the allocation of hydropower production over one year. The purpose is to increase the dispatchable generation capacity for peak demands of power grids. The technology scheme of the invention can be summarized as follows. A multi-objective model of hydropower system operations is established with maximizing generation production and minimizing the difference rate between peak and valley load during dry period.

Abstract: The invention that relates to the field of hydropower scheduling presents a method for long-term optimal operations of interprovincial hydropower system considering peak-shaving demands. It can take full advantage of the differences of hydrological characteristics among hydropower plants on different rivers to implement compensation operations of interprovincial hydropower system. In this operation, typical daily load demands during dry season are considered to optimize the allocation of hydropower production over one year. The purpose is to increase the dispatchable generation capacity for peak demands of power grids. The technology scheme of the invention can be summarized as follows. A multi-objective model of hydropower system operations is established with maximizing generation production and minimizing the difference rate between peak and valley load during dry period.